00997nam0 22003011i 450 990003874160403321000387416FED01000387416(Aleph)000387416FED0100038741619960715d--------km-y0itay50------baengITTechnological Innovation in the Service SectorAn Analysis of the Italian and European QuestionnairesGiulio Cainelli, Nicola De Liso, Giulio PeraniQuaderni del Dipartimento di Economia, Istituzioni, Territorio, Università di Ferrara2000.11Innovazioni tecnologicheServiziItalia11230G/1.4Cainelli,Giulio118147De Liso,Nicola124024Perani,Giulio145594ITUNINARICAUNIMARCBK990003874160403321SESTechnological Innovation in the Service Sector516720UNINA05381nam 2200649Ia 450 991045230290332120200520144314.0981-4520-82-9(CKB)2550000001096047(EBL)1275565(OCoLC)851695521(SSID)ssj0000970791(PQKBManifestationID)12431446(PQKBTitleCode)TC0000970791(PQKBWorkID)11020634(PQKB)10459174(MiAaPQ)EBC1275565(WSP)00008846(PPN)189547154(Au-PeEL)EBL1275565(CaPaEBR)ebr10731532(CaONFJC)MIL502622(EXLCZ)99255000000109604720130718d2013 uy 0engur|n|---|||||txtccrBIOMAT 2012[electronic resource] International Symposium on Mathematical and Computational Biology, Tempe, Arizona, USA, 6-10 November 2012 /edited by Rubem P MondainiSingapore ;Hackensack, NJ World Scientificc20131 online resource (406 p.)Description based upon print version of record.981-4520-81-0 1-299-71371-8 Includes bibliographical references and index.Contents; Preface; Editorial Board of the BIOMAT Consortium; Professor C.E.M. Pearce - In Memoriam; Mathematical Epidemiology; Compartmental Age of Infection Epidemic Models Fred Brauer; 1. Epidemic models with homogeneous mixing; 1.1. The simple Kermack-McKendrick model; 1.2. Models with disease deaths; 1.3. More complicated epidemic models; 2. The age of infection epidemic model; 2.1. The initial exponential growth rate; 3. Heterogeneous mixing age of infection models; 3.1. The final size relations; 3.2. The initial exponential growth rate; 4. Different models for the same epidemicReferencesMathematical Modelling of Infectious Diseases; Lyme Pathogen Transmission in Tick Populations with Multiple Host Species Yijun Lou, Jianhong Wu, Xiaotian Wu; 1. Introduction; 2. The Model and Analysis; 2.1. The Tick Population Dynamics; 2.2. The Global Dynamics; 3. Numerical Simulations; 3.1. Climate Warming Effects; 3.2. Host Diversity Effects; 3.2.1. Effects of Adding Alternative Hosts without Interspecific Host Competition; 3.2.2. Effects of Adding the Alternative Host with Interspecific Host Competition; 3.3. Sensitivity Analysis; 4. Discussion; Acknowledgements; ReferencesQuantifying the Risk of Mosquito-Borne Infections Basing on the Equilibrium Prevalence in Humans Marcos Amaku, Francisco A.B. Coutinho, Eduardo Massad1. Introduction; 2. The Model; 3. Estimating Risks; 4. Discussion; Acknowledgments; Conflicts of Interest; References; Seasonal Fluctuation in Tsetse Fly Populations and Human African Trypanosomiasis: A Mathematical Model T. Madsen, D.I. Wallace, N. Zupan; 1. Introduction; 2. Insect population submodel; 2.1. Insect Model Equations; 2.2. Explanation of Equations; 2.3. Temperature Model; 3. Analysis of model3.1. Instability of the model with constant temperature D3.2. Sufficient insect death leads to stability; 3.3. Variable temperature as a switched system; 4. Numerical results of insect submodel; 4.1. Rogers' model revisited; 5. Sensitivity of the model; 6. Summary of results; References; Modelling Physiological Disorders; A Mathematical Model for the Immunotherapy of Advanced Prostate Cancer Travis Portz, Yang Kuang; 1. Introduction; 2. The Model; 3. Numerical Simulations; 4. Mathematical Analysis; 5. Discussion; Acknowledgements; ReferencesSeizure Manifold of the Epileptic Brain: A State Space Reconstruction Approach Mujahid N. Syed, Pando G. Georgiev, Panos M. Pardalos1. Introduction; 2. Review; 2.1. Embedding; 3. Methodology; 3.1. Preprocessing; Filtering Noise; Identifying Stationarity; Identifying Determinism; 3.2. Manifold Generation; Time Delay Embedding; Embedding Dimension; Delay Time; 3.3. Measures of DDS; Fractal Dimension; Lyapunov Exponents; Kolmogorov Entropy; 3.4. Surrogate Tests; Surrogate Data Test 1; Surrogate Data Test 2; Surrogate Data Test 3; 3.5. Low Dimensional Phase Portraits; 4. Seizure Manifold5. CriticismThis is a book of a series on interdisciplinary topics of the Biological and Mathematical Sciences. The chapters correspond to selected papers on special research themes, which were presented at BIOMAT 2012 International Symposium on Mathematical and Computational Biology, in Tempe, Arizona, USA, November 6-10. This book contains state-of-the art articles on special research topics on mathematical biology, biological physics and mathematical modeling of biosystems; comprehensive reviews on interdisciplinary areas written by prominent leaders of scientific research groups. The treatment is bothBiologyMathematical modelsCongressesBiomathematicsCongressesElectronic books.BiologyMathematical modelsBiomathematics570.15118Mondaini R(Rubem)849245MiAaPQMiAaPQMiAaPQBOOK9910452302903321BIOMAT 20122261573UNINA